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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Simpliigence - **Location:** London, UK - **Experience:** Expert - **Salary:** £74,000.0 - £101,000.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automated Storage and Retrieval Systems, Microsoft Azure, Cloud Computing, Continuous Integration, DevOps, Python (Programming Language), PostgreSQL, Machine Learning, Open Source Technology, Performance Tuning, Tensorflow, Standard Sql, Search Technologies, Systems Integration, TypeScript, Web Applications, Software Organization, Data Logging, Enterprise Software Applications, Pytorch, Retrieval-Augmented Generation, Large Language Models, Generative AI, Backend, Git, Kubernetes, Information Technology, Restful APIs, Docker, Microservices - **Published:** September 21, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5891624383 ## About the Role * Bachelors or Masters degree in Computer Science, AI, Machine Learning, Data Science, Engineering, or a related field. * 5+ years of software, AI, or ML engineering experience. * Strong Python programming skills. * Experience developing and deploying AI/ML applications. * Hands-on experience with LLMs and Generative AI. * Experience with RAG, embeddings, vector databases, or semantic search. * Understanding of machine learning and deep learning fundamentals. * Experience building REST APIs and integrating third-party services. * Experience with Git, Docker, CI/CD, and software development best practices. * Experience with at least one major cloud platform: AWS, Azure, or GCP. * Strong problem-solving, communication, and collaboration skills. ## Description * Design and develop AI/ML and Generative AI applications for business use cases. * Build LLM-powered applications using APIs and/or open-source models. * Develop RAG pipelines, embeddings, vector search, and knowledge-retrieval systems. * Design and implement AI agents, tool calling, workflows, and orchestration. * Develop prompts, structured outputs, guardrails, and fallback mechanisms. * Build evaluation frameworks to measure accuracy, relevance, reliability, latency, and cost. * Integrate AI capabilities into existing web applications, APIs, and enterprise systems. * Develop and deploy scalable AI services using Python and modern backend frameworks. * Fine-tune or adapt ML/LLM models when appropriate for the use case. * Implement monitoring, logging, testing, and observability for AI applications. * Optimize model performance, inference latency, token usage, and infrastructure costs. * Work with cloud platforms such as AWS, Azure, or GCP. * Collaborate with data scientists and software engineers on end-to-end AI solutions. * Stay current with developments in LLMs, GenAI, ML frameworks, and AI engineering practices. Technologies: * AI * AI Agents * AWS * Azure * Backend * CI/CD * Cloud * Docker * GCP * Git * LLM * Machine Learning * Python * RAG * REST * Web * DevOps * Fine-tuning * JavaScript * Kubernetes * PostgreSQL * PyTorch * SQL * TensorFlow * TypeScript * microservices, We are looking for an AI Engineer to design, build, deploy, and maintain production-grade AI and Generative AI applications. This role combines strong software engineering fundamentals with hands-on experience building solutions using Large Language Models, Retrieval-Augmented Generation, AI agents, machine learning, and cloud technologies. You will work closely with product, engineering, data, and business teams to translate real-world problems into scalable, reliable AI solutions. 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